Topic: end-to-end-autonomous-driving Goto Github
Some thing interesting about end-to-end-autonomous-driving
Some thing interesting about end-to-end-autonomous-driving
end-to-end-autonomous-driving,RecyclingRush ♻️: Towards Continuous Floating Invasive Plant Removal Using Unmanned Surface Vehicles and Computer Vision, IEEE Access 2024.
User: edwintsalcedo
Home Page: https://ieeexplore.ieee.org/document/10385136
end-to-end-autonomous-driving,End to End Learning of Self Driving Vehicle in Urban Environments using CARLA
User: faizansana
end-to-end-autonomous-driving,All you need for End-to-end Autonomous Driving
Organization: opendrivelab
Home Page: https://arxiv.org/abs/2306.16927
end-to-end-autonomous-driving,Our insights of Openpilot, a deepdive project on it
Organization: opendrivelab
end-to-end-autonomous-driving,[ICLR 2023] Pytorch implementation of PPGeo, a fully self-supervised driving policy pre-training framework to learn from unlabeled driving videos.
Organization: opendrivelab
end-to-end-autonomous-driving,[ECCV 2022] ST-P3, an end-to-end vision-based autonomous driving framework via spatial-temporal feature learning.
Organization: opendrivelab
end-to-end-autonomous-driving,[NeurIPS 2022] Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline.
Organization: opendrivelab
end-to-end-autonomous-driving,[CVPR 2023] Pytorch implementation of ThinkTwice, a SOTA Decoder for End-to-end Autonomous Driving under BEV.
Organization: opendrivelab
end-to-end-autonomous-driving,[CVPR 2023 Best Paper] Planning-oriented Autonomous Driving
Organization: opendrivelab
end-to-end-autonomous-driving,A collection of recent resources on End-to-End Autonomous Driving [survey accepted in IEEE TIV]
User: pranav-chib
end-to-end-autonomous-driving,A goal-oriented planning to lift VLN performance for Closed-Loop Navigation: Simple, Yet Effective
User: reachpranjal
Home Page: https://reachpranjal.github.io/lego-drive
end-to-end-autonomous-driving,A comprehensive survey of forging vision foundation models for autonomous driving, including challenges, methodologies, and opportunities.
User: zhanghm1995
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